Inference functionalities for distributed-lag linear structural equation models (DLSEMs). DLSEMs are Markovian structural causal models where each factor of the joint probability distribution is a distributed-lag linear regression model (Magrini, 2018) <doi:10.2478/bile-2018-0012>. DLSEMs account for temporal delays in the dependence relationships among the variables and allow to perform dynamic causal inference by assessing causal effects at different time lags. Endpoint-constrained quadratic, quadratic decreasing and gamma lag shapes are available.
| Version: | 2.4.1 |
| Depends: | graph, Rgraphviz |
| Imports: | methods |
| Published: | 2019-01-10 |
| Author: | Alessandro Magrini |
| Maintainer: | Alessandro Magrini <alessandro.magrini at unifi.it> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | Econometrics |
| CRAN checks: | dlsem results |
| Reference manual: | dlsem.pdf |
| Vignettes: |
Distributed-lag linear structural equation models in R: the dlsem package |
| Package source: | dlsem_2.4.1.tar.gz |
| Windows binaries: | r-devel: dlsem_2.4.1.zip, r-release: dlsem_2.4.1.zip, r-oldrel: dlsem_2.4.1.zip |
| OS X binaries: | r-release: dlsem_2.4.1.tgz, r-oldrel: dlsem_2.4.tgz |
| Old sources: | dlsem archive |
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